Breaking a Graph into Connected Components with Small Dominating Sets

Authors Matthias Bentert, Michael R. Fellows , Petr A. Golovach , Frances A. Rosamond , Saket Saurabh



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Author Details

Matthias Bentert
  • University of Bergen, Norway
Michael R. Fellows
  • University of Bergen, Norway
  • Lebanese American University, Beirut, Lebanon
Petr A. Golovach
  • University of Bergen, Norway
Frances A. Rosamond
  • University of Bergen, Norway
  • Lebanese American University, Beirut, Lebanon
Saket Saurabh
  • The Institute of Mathematical Sciences, Chennai, India

Cite As Get BibTex

Matthias Bentert, Michael R. Fellows, Petr A. Golovach, Frances A. Rosamond, and Saket Saurabh. Breaking a Graph into Connected Components with Small Dominating Sets. In 49th International Symposium on Mathematical Foundations of Computer Science (MFCS 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 306, pp. 24:1-24:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024) https://doi.org/10.4230/LIPIcs.MFCS.2024.24

Abstract

We study DOMINATED CLUSTER DELETION. Therein, we are given an undirected graph G = (V,E) and integers k and d and the task is to find a set of at most k vertices such that removing these vertices results in a graph in which each connected component has a dominating set of size at most d. We also consider the special case where d is a constant. We show an almost complete tetrachotomy in terms of para-NP-hardness, containment in XP, containment in FPT, and admitting a polynomial kernel with respect to parameterizations that are a combination of k,d,c, and Δ, where c and Δ are the degeneracy and the maximum degree of the input graph, respectively. As a main contribution, we show that the problem can be solved in f(k,d) ⋅ n^O(d) time, that is, the problem is FPT when parameterized by k when d is a constant. This answers an open problem asked in a recent Dagstuhl seminar (23331). For the special case d = 1, we provide an algorithm with running time 2^𝒪(klog k) nm. Furthermore, we show that even for d = 1, the problem does not admit a polynomial kernel with respect to k + c.

Subject Classification

ACM Subject Classification
  • Theory of computation → Parameterized complexity and exact algorithms
  • Mathematics of computing → Graph algorithms
Keywords
  • Parameterized Algorithms
  • Recursive Understanding
  • Polynomial Kernels
  • Degeneracy

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